TY - JOUR
AU - Redi, Anak Agung Ngurah Perwira
AU - Maula, Fiki Rohmatul
AU - Kumari, Fairuz
AU - Syaveyenda, Natasha Utami
AU - Ruswandi, Nanda
AU - Khasanah, Annisa Uswatun
AU - Kurniawan, Adji Chandra
PY - 2020/07/28
Y2 - 2020/10/02
TI - Simulated annealing algorithm for solving the capacitated vehicle routing problem: a case study of pharmaceutical distribution
JF - Jurnal Sistem dan Manajemen Industri
JA - j. sist. manaj. ind.
VL - 4
IS - 1
SE - Research Article
DO - 10.30656/jsmi.v4i1.2215
UR - https://e-jurnal.lppmunsera.org/index.php/JSMI/article/view/2215
SP - 41-49
AB - This study aims to find a set of vehicles routes with the minimum total transportation time for pharmaceutical distribution at PT. XYZ in West Jakarta. The problem is modeled as the capacitated vehicle routing problem (CVRP). The CVRP is known as an NP-Hard problem. Therefore, a simulated annealing (SA) heuristic is proposed. First, the proposed SA performance is compared with the performance of the algorithm form previous studies to solve CVRP. It is shown that the proposed SA is useful in solving CVRP benchmark instances. Then, the SA algorithm is compared to a commonly used heuristic known as the nearest neighborhood heuristics for the case study dataset. The results show that the simulated Annealing and the nearest neighbor algorithm is performing well based on the percentage differences between each algorithm with the optimal solution are 0.03% and 5.50%, respectively. Thus, the simulated annealing algorithm provides a better result compared to the nearest neighbour algorithm. Furthermore, the proposed simulated annealing algorithm can find the solution as same as the exact method quite consistently. This study has shown that the simulated annealing algorithm provides an excellent solution quality for the problem.
ER -